Micro Computer (HK) Tech Limited UM690
Geekbench AI Score
6414
Single Precision Score
9102
Half Precision Score
4626
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 06 2026 10:06 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited UM690 |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F7BFC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 6900HX |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2107
391.8 IPS |
|
|
Image Classification (HP)
|
100% |
3022
562.0 IPS |
|
|
Image Classification (Q)
|
100% |
1892
351.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3291
53.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3535
57.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2657
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
31268
36.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
57556
67.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
23096
27.1 IPS |
|
|
Object Detection (SP)
|
100% |
2372
188.1 IPS |
|
|
Object Detection (HP)
|
100% |
3282
260.3 IPS |
|
|
Object Detection (Q)
|
87% |
2080
167.0 IPS |
|
|
Face Detection (SP)
|
100% |
4894
58.1 IPS |
|
|
Face Detection (HP)
|
100% |
8563
101.7 IPS |
|
|
Face Detection (Q)
|
97% |
4114
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14300
110.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
21315
164.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
10869
87.2 IPS |
|
|
Style Transfer (SP)
|
100% |
58093
74.7 IPS |
|
|
Style Transfer (HP)
|
100% |
88444
113.7 IPS |
|
|
Style Transfer (Q)
|
98% |
38908
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11319
418.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16697
616.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6456
239.0 IPS |
|
|
Text Classification (SP)
|
100% |
1672
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2195
2.93 KIPS |
|
|
Text Classification (Q)
|
97% |
1196
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2978
51.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3270
56.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1384
26.0 IPS |
